Pricing

Pay per usage

Go to Store

Diff Datasets

Try for free

Developed by

Paulo Cesar

Take one dataset on Apify platform, compare it to another, and output the missing ones. This can also be used to output only changed items, using a compound key

0.0 (0)

Pricing

Pay per usage

Total users

Monthly users

Runs succeeded

Last modified

3 years ago

Automation

Open source

You can access the Diff Datasets programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/sse?actors=pocesar/diff-datasets",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Diff Datasets

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).
Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=pocesar/diff-datasets along with an API token (or use OAuth).
Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
    "mcpServers": {
        "apify": {
            "type": "sse",
            "url": "https://mcp.apify.com/sse?actors=pocesar/diff-datasets",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Diff Dataset Fields

lukaskrivka/diff-dataset-fields

Compare changes in text fields between two datasets. Monitor new and updated content on websites.

Lukáš Křivka

Validate Dataset(s) with JSON Schema

jaroslavhejlek/validate-dataset-with-json-schema

This Actor validates items in one or more datasets against a provided JSON Schema. Use it if you planning to add a dataset validation schema to your actor and you want test it.

Jaroslav Hejlek

DIFF Eyewear Scraper

mshopik/diff-eyewear-scraper

Scrape DIFF Eyewear and extract data on eyewear from diffeyewear.com. Our DIFF Eyewear API lets you crawl product information and pricing. The saved data can be downloaded as HTML, JSON, CSV, Excel, and XML.

Mark Carter

Google Dataset Items Translator

web.harvester/google-dataset-items-translator

Translate any dataset field(s) to any of the supported languages using the Google Translate website, it goes through all the items in the dataset and translates all of the selected fields

Web Harvester

Website Screenshot Generator

apify/screenshot-url

Create a screenshot of a website based on a specified URL. The screenshot is stored as the output in a key-value store. It can be used to monitor web changes regularly after setting up the scheduler.

Apify

3.8K

4.4

Yet Another Dataset Translator

mvolfik/yet-another-dataset-translator

Actor to translate datasets with field selection and source language detection. Requires Google Translate API Key.

Matěj Volf

Sort Dataset Items

lukaskrivka/sort-dataset-items

Add this actor as a webhook to your scraper to sort the dataset by index field

Lukáš Křivka

Spawn Workers

pocesar/spawn-workers

This actor lets you spawn tasks or other actors in parallel on the Apify platform that shares a common output dataset, splitting a RequestQueue-like dataset containing request URLs

Paulo Cesar

Text to Speech

theapicompany/text-to-speech

Transfers your Text input into a MP3 file.This is the Text to Speech API; The Input: { "text": "Your text that will be an audio" } The Output: To get the Output, which is a MP3 Data file, you have to go to Storage, in there you need to click on Key-Value-Storage and Download the file.